Kernel_Random manipulation of random engine and numbers. More...

#include <Kernel_Random.h>

Inheritance diagram for PROJECT_NS::Kernel_Random:

Collaboration diagram for PROJECT_NS::Kernel_Random:

Public Types
using	rng_t = std::mt19937
	random number generator type

using	uid_range = std::uniform_int_distribution<int>::param_type

using	pd_range = std::poisson_distribution<int>::param_type

Public Member Functions
virtual const std::string	getName ()
	Get the name of the kernel.

virtual int	getType () const
	Get the type of the kernel.

void	setInputParam (std::shared_ptr< Param > &PM)
	Set input parameters for the kernel and its children.

void	setInputDataSet (std::shared_ptr< DataSet > &DS)
	Set input data set for the kernel and its children.

std::shared_ptr< Param >	getParam () const
	Get the parameter associated with the kernel.

std::shared_ptr< DataSet >	getDataSet () const
	Get the data set associated with the kernel.

Status &	initializeKernel (Status &stat)
	Prepare initial conditions for the kernel and its children.

Status &	executeKernel (Status &stat)
	Execute the kernel's algorithm and those of its children.

Status &	finalizeKernel (Status &stat)
	Finalize the kernel and its children, performing any necessary cleanup.

int	getID () const
	Get the ID of the kernel.

bool	operator== (const Kernel &ker)
	Overloaded equality operator to compare two Kernel objects by their IDs.

Kernel &	appendChild (std::shared_ptr< Kernel > ker)
	Append a kernel as the last child of the current tree node.

Kernel &	insertAt (std::vector< std::size_t > indexes, std::shared_ptr< Kernel > ker)
	Insert a kernel at specified indexes in the tree.

Kernel &	removeAt (std::vector< std::size_t > indexes)
	Remove kernels at specified indexes from the tree.

Kernel &	updateAt (std::vector< std::size_t > indexes, std::shared_ptr< Kernel > ker)
	Update the kernel at specified indexes in the tree.

std::tuple< Kernel *, std::size_t >	getLastParentKernelAndChildOrder ()
	Retrieve the last parent kernel along with the order of its child kernels, if available.

std::shared_ptr< RuleSet >	getRuleSet ()
	Get RuleSet associated with the Kernel.

const std::string	generateInformationString (double total_time=-1.0f, int current_layer=0, int total_depth=0, int total_align_size=0)
	Generate a formatted string containing information about the kernel.

Static Public Member Functions
static int	rand_catalog (int *res_arr, int N=1, bool reset=false, int begin=0, int end=1)

static int	rand_uniform (kids_real *res_arr, int N=1, kids_real sigma=1.0)

static int	rand_gaussian (kids_real *res_arr, int N=1, kids_real sigma=1.0, kids_real mu=0.0)

static int	rand_exponent (kids_real *res_arr, int N=1)

static int	rand_poisson (int *res_arr, int N=1, kids_real lambda=1.0f)

static int	rand_simplex (kids_real *res_arr, int N=1, kids_real constr=1.0f)

static int	rand_sphere (kids_real *res_arr, int N=1, kids_real constr=1.0f)

static int	dump (Kernel *ker)

static int	report (Kernel *ker)

static int	mpi_reduce_info (Kernel *ker)

static const std::string	serializeKernel (const Kernel &ker)
	Serialize a Kernel object into a string representation.

static std::shared_ptr< Kernel >	deserializeKernel (const std::string &str)
	Deserialize a string representation into a Kernel object.

Static Public Attributes
static rng_t	rand_rng

static std::uniform_int_distribution< int >	rand_uid {0, 1}
	catalog distribution

static std::uniform_real_distribution< kids_real >	rand_udd {0, 1}
	uniform distribution

static std::normal_distribution< kids_real >	rand_nd {0.0, 1.0}
	normal distribution

static std::poisson_distribution< int >	rand_pd {1.0}
	possion distribution

Protected Member Functions
virtual void	setInputParam_impl (std::shared_ptr< Param > &PM)
	Virtual function to set input parameters for the kernel implementation.

virtual Status &	executeKernel_impl (Status &stat)
	Virtual function to execute the kernel implementation.

virtual Status &	finalizeKernel_impl (Status &stat)
	Virtual function to finalize the kernel implementation.

Protected Attributes
bool	is_timing = false
	Flag indicating whether timing is enabled for this kernel.

bool	has_parent = false
	Flag indicating whether the kernel has a parent.

int	count_calc = 0
	Counter for the number of calculations performed by this kernel.

int	count_exec = 0
	Counter for the number of executions performed by this kernel.

int	kernel_id = 0
	ID of the kernel.

int	kernel_type = 0
	Type of the kernel.

double	exec_time = 0.0f
	Total execution time of the kernel.

int	depth = 0
	Depth of the kernel in the tree structure.

int	max_align_size = 0
	Maximum alignment size used by this kernel.

std::string	kernel_name
	Name of the kernel.

std::shared_ptr< Param >	_param
	Shared pointer to the Param object associated with this kernel.

std::shared_ptr< DataSet >	_dataset
	Shared pointer to the DataSet object associated with this kernel.

std::shared_ptr< RuleSet >	_ruleset
	Recorded Rules associated with the Kernel.

Kernel *	_parent_kernel
	Pointer to the parent kernel.

std::size_t	_order_in_parent
	Order of this kernel in its parent's children.

std::vector< std::shared_ptr< Kernel > >	_child_kernels
	Vector containing shared pointers to the child kernels of this kernel.

std::vector< std::shared_ptr< Kernel > >	_all_kernels
	Vector containing shared pointers to all descendant kernels of this kernel.

Private Member Functions
virtual void	setInputDataSet_impl (std::shared_ptr< DataSet > &DS)
	Virtual function to set input data set for the kernel implementation.

virtual Status &	initializeKernel_impl (Status &stat)
	Virtual function to initialize the kernel implementation.

void	connectRelatedKernels (std::shared_ptr< Kernel > &ker)
	Connect related kernels to this kernel.

Static Private Member Functions
static std::map< std::string, Kernel * > &	getDictOfKernels ()
	Get the dictionary of kernels (mapping from names to kernel pointers).

static std::vector< Kernel * > &	getKernels ()
	Get the vector of all kernel pointers.

Private Attributes
int *	seed

bool	restart

Detailed Description

Kernel_Random manipulation of random engine and numbers.

Definition at line 12 of file Kernel_Random.h.

Member Typedef Documentation

◆ pd_range

using PROJECT_NS::Kernel_Random::pd_range = std::poisson_distribution<int>::param_type

Definition at line 16 of file Kernel_Random.h.

◆ rng_t

using PROJECT_NS::Kernel_Random::rng_t = std::mt19937

random number generator type

Definition at line 14 of file Kernel_Random.h.

◆ uid_range

using PROJECT_NS::Kernel_Random::uid_range = std::uniform_int_distribution<int>::param_type

Definition at line 15 of file Kernel_Random.h.

Member Function Documentation

◆ appendChild()

Kernel & Kernel::appendChild ( std::shared_ptr< Kernel > ker )

inherited

Append a kernel as the last child of the current tree node.

Parameters

ker	The kernel to append as the last child.

Returns: Reference to the modified kernel.

Definition at line 78 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_order_in_parent, PROJECT_NS::Kernel::_ruleset, PROJECT_NS::Kernel::depth, PROJECT_NS::Kernel::getLastParentKernelAndChildOrder(), and PROJECT_NS::Kernel::max_align_size.

Referenced by PROJECT_NS::Kernel_Elec_NAD::Kernel_Elec_NAD(), PROJECT_NS::Kernel_Elec_Switch::Kernel_Elec_Switch(), PROJECT_NS::Kernel_GWP::Kernel_GWP(), PROJECT_NS::Model_ElectronTransfer::Model_ElectronTransfer(), and PROJECT_NS::Model_SystemBath::Model_SystemBath().

Here is the call graph for this function:

Here is the caller graph for this function:

◆ connectRelatedKernels()

void Kernel::connectRelatedKernels ( std::shared_ptr< Kernel > & ker )

privateinherited

Connect related kernels to this kernel.

This function connects related kernels to the current kernel. Related kernels are kernels that are associated with or connected to this kernel in some way.

Note: The exact definition of "related kernels" may vary depending on the context and application.

Definition at line 228 of file Kernel.cpp.

References PROJECT_NS::Kernel::_all_kernels, and PROJECT_NS::Kernel::connectRelatedKernels().

Referenced by PROJECT_NS::Kernel::connectRelatedKernels().

Here is the call graph for this function:

Here is the caller graph for this function:

◆ deserializeKernel()

std::shared_ptr< Kernel > Kernel::deserializeKernel ( const std::string & str )

staticinherited

Deserialize a string representation into a Kernel object.

Parameters

str	The string containing the serialized Kernel object.

Returns: A shared pointer to the deserialized Kernel object.

Definition at line 187 of file Kernel.cpp.

◆ dump()

static int PROJECT_NS::Kernel::dump ( Kernel * ker )

inlinestaticinherited

Definition at line 71 of file Kernel.h.

◆ executeKernel()

Status & Kernel::executeKernel ( Status & stat )

inherited

Execute the kernel's algorithm and those of its children.

Parameters

stat	The status object to store execution status.

Returns: The status object after execution.

Definition at line 48 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_dataset, PROJECT_NS::Kernel::_ruleset, PROJECT_NS::Kernel::count_exec, PROJECT_NS::Kernel::exec_time, PROJECT_NS::Kernel::executeKernel_impl(), PROJECT_NS::Kernel::has_parent, and PROJECT_NS::Kernel::is_timing.

Here is the call graph for this function:

Here is the caller graph for this function:

◆ executeKernel_impl()

Status & Kernel::executeKernel_impl ( Status & stat )

protectedvirtualinherited

Virtual function to execute the kernel implementation.

Parameters

stat	Status object to store execution status.

Returns: Status object after execution.

Definition at line 224 of file Kernel.cpp.

Referenced by PROJECT_NS::Kernel::executeKernel().

Here is the caller graph for this function:

◆ finalizeKernel()

Status & Kernel::finalizeKernel ( Status & stat )

inherited

Finalize the kernel and its children, performing any necessary cleanup.

Parameters

stat	The status object to store finalization status.

Returns: The status object after finalization.

Definition at line 66 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, and PROJECT_NS::Kernel::finalizeKernel_impl().

Here is the call graph for this function:

◆ finalizeKernel_impl()

Status & Kernel::finalizeKernel_impl ( Status & stat )

protectedvirtualinherited

Virtual function to finalize the kernel implementation.

Parameters

stat	Status object to store finalization status.

Returns: Status object after finalization.

Reimplemented in PROJECT_NS::Kernel_Recorder.

Definition at line 226 of file Kernel.cpp.

Referenced by PROJECT_NS::Kernel::finalizeKernel().

Here is the caller graph for this function:

◆ generateInformationString()

const std::string Kernel::generateInformationString	(	double	total_time = -1.0f,
		int	current_layer = 0,
		int	total_depth = 0,
		int	total_align_size = 0 )

inherited

Generate a formatted string containing information about the kernel.

This function generates a formatted string containing information about the kernel, including its total time, current layer, total depth, and total alignment size.

Parameters

total_time	The total time taken by the kernel (default: -1.0f).
current_layer	The current layer of the kernel (default: 0).
total_depth	The total depth of the kernel (default: 0).
total_align_size	The total alignment size of the kernel (default: 0).

Returns: A formatted string containing kernel information.

Definition at line 189 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::depth, PROJECT_NS::Kernel::exec_time, PROJECT_NS::Kernel::getName(), PROJECT_NS::Kernel::kernel_id, and PROJECT_NS::Kernel::max_align_size.

Here is the call graph for this function:

◆ getDataSet()

std::shared_ptr< DataSet > Kernel::getDataSet ( ) const

inherited

Get the data set associated with the kernel.

Returns: Shared pointer to the DataSet object.

Definition at line 37 of file Kernel.cpp.

References PROJECT_NS::Kernel::_dataset.

◆ getDictOfKernels()

static std::map< std::string, Kernel * > & PROJECT_NS::Kernel::getDictOfKernels ( )

staticprivateinherited

Get the dictionary of kernels (mapping from names to kernel pointers).

This function returns a reference to the static map containing the dictionary of kernels. The dictionary maps kernel names to their corresponding kernel pointers.

Returns: A reference to the dictionary of kernels.

◆ getID()

int Kernel::getID ( ) const

inherited

Get the ID of the kernel.

Returns: The ID of the kernel.

Definition at line 74 of file Kernel.cpp.

References PROJECT_NS::Kernel::kernel_id.

Referenced by PROJECT_NS::Kernel_Prioritization::getName(), and PROJECT_NS::Kernel::operator==().

Here is the caller graph for this function:

◆ getKernels()

std::vector< Kernel * > & Kernel::getKernels ( )

staticprivateinherited

Get the vector of all kernel pointers.

This function returns a reference to the static vector containing pointers to all kernels.

Returns: A reference to the vector of all kernel pointers.

Definition at line 247 of file Kernel.cpp.

Referenced by PROJECT_NS::Kernel::Kernel().

Here is the caller graph for this function:

◆ getLastParentKernelAndChildOrder()

std::tuple< Kernel *, std::size_t > Kernel::getLastParentKernelAndChildOrder ( )

inherited

Retrieve the last parent kernel along with the order of its child kernels, if available.

Returns: A tuple containing a pointer to the last parent kernel and the order of its child kernels.

Definition at line 178 of file Kernel.cpp.

References PROJECT_NS::Kernel::_order_in_parent, PROJECT_NS::Kernel::_parent_kernel, and PROJECT_NS::Kernel::has_parent.

Referenced by PROJECT_NS::Kernel::appendChild(), PROJECT_NS::Kernel::insertAt(), and PROJECT_NS::Kernel::updateAt().

Here is the caller graph for this function:

◆ getName()

const std::string PROJECT_NS::Kernel_Random::getName ( )

virtual

Get the name of the kernel.

Returns the concatenated name of the kernel, prefixed with "Kernel__".

Returns: The name of the kernel.

Reimplemented from PROJECT_NS::Kernel.

Definition at line 14 of file Kernel_Random.cpp.

◆ getParam()

std::shared_ptr< Param > Kernel::getParam ( ) const

inherited

Get the parameter associated with the kernel.

Returns: Shared pointer to the Param object.

Definition at line 35 of file Kernel.cpp.

References PROJECT_NS::Kernel::_param.

◆ getRuleSet()

std::shared_ptr< RuleSet > Kernel::getRuleSet ( )

inherited

Get RuleSet associated with the Kernel.

Returns: The RuleSet (name, dataPointer, datatype, size, stride).

Definition at line 183 of file Kernel.cpp.

References PROJECT_NS::Kernel::_ruleset.

◆ getType()

int PROJECT_NS::Kernel_Random::getType ( ) const

virtual

Get the type of the kernel.

This function returns the type of the kernel.

Note: This function should be implemented in derived classes to return the specific type of the kernel.

Returns: The type of the kernel.

Reimplemented from PROJECT_NS::Kernel.

Definition at line 16 of file Kernel_Random.cpp.

References FUNCTION_NAME, and utils::hash().

Here is the call graph for this function:

◆ initializeKernel()

Status & Kernel::initializeKernel ( Status & stat )

inherited

Prepare initial conditions for the kernel and its children.

Parameters

stat	The status object to store initialization status.

Returns: The status object after initialization.

Definition at line 39 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_dataset, PROJECT_NS::Kernel::count_calc, and PROJECT_NS::Kernel::initializeKernel_impl().

Here is the call graph for this function:

◆ initializeKernel_impl()

Status & PROJECT_NS::Kernel_Random::initializeKernel_impl ( Status & stat )

privatevirtual

Virtual function to initialize the kernel implementation.

Parameters

stat	Status object to store initialization status.

Returns: Status object after initialization.

Reimplemented from PROJECT_NS::Kernel.

Definition at line 88 of file Kernel_Random.cpp.

References PROJECT_NS::Kernel::count_calc, rand_rng, restart, and seed.

◆ insertAt()

Kernel & Kernel::insertAt	(	std::vector< std::size_t >	indexes,
		std::shared_ptr< Kernel >	ker )

inherited

Insert a kernel at specified indexes in the tree.

Parameters

indexes	Indexes indicating the position to insert the kernel.
ker	The kernel to insert.

Returns: Reference to the modified kernel.

Definition at line 102 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_ruleset, and PROJECT_NS::Kernel::getLastParentKernelAndChildOrder().

Here is the call graph for this function:

◆ mpi_reduce_info()

static int PROJECT_NS::Kernel::mpi_reduce_info ( Kernel * ker )

inlinestaticinherited

Definition at line 75 of file Kernel.h.

◆ operator==()

bool Kernel::operator== ( const Kernel & ker )

inherited

Overloaded equality operator to compare two Kernel objects by their IDs.

Parameters

ker	The Kernel object to compare with.

Returns: True if the IDs of the two kernels are equal, otherwise false.

Definition at line 76 of file Kernel.cpp.

References PROJECT_NS::Kernel::getID().

Here is the call graph for this function:

◆ rand_catalog()

int PROJECT_NS::Kernel_Random::rand_catalog	(	int *	res_arr,
		int	N = 1,
		bool	reset = false,
		int	begin = 0,
		int	end = 1 )

static

Definition at line 18 of file Kernel_Random.cpp.

References rand_rng, and rand_uid.

Referenced by PROJECT_NS::Kernel_Elec_NAD::initializeKernel_impl(), and PROJECT_NS::Kernel_Elec_Switch::initializeKernel_impl().

Here is the caller graph for this function:

◆ rand_exponent()

int PROJECT_NS::Kernel_Random::rand_exponent	(	kids_real *	res_arr,
		int	N = 1 )

static

Definition at line 35 of file Kernel_Random.cpp.

References rand_uniform().

Here is the call graph for this function:

◆ rand_gaussian()

int PROJECT_NS::Kernel_Random::rand_gaussian	(	kids_real *	res_arr,
		int	N = 1,
		kids_real	sigma = 1.0,
		kids_real	mu = 0.0 )

static

Definition at line 29 of file Kernel_Random.cpp.

References rand_nd, and rand_rng.

Referenced by PROJECT_NS::elec_utils::c_sphere(), PROJECT_NS::Kernel_Update_T::executeKernel_impl(), PROJECT_NS::Kernel_GWP::initializeKernel_impl(), PROJECT_NS::Model_ElectronTransfer::initializeKernel_impl(), PROJECT_NS::Model_Interf_MNDO::initializeKernel_impl(), PROJECT_NS::Model_LVCM::initializeKernel_impl(), PROJECT_NS::Model_HO::initializeKernel_impl(), PROJECT_NS::Model_NAD1D::initializeKernel_impl(), and PROJECT_NS::Model_SystemBath::initializeKernel_impl().

Here is the caller graph for this function:

◆ rand_poisson()

int PROJECT_NS::Kernel_Random::rand_poisson	(	int *	res_arr,
		int	N = 1,
		kids_real	lambda = 1.0f )

static

Definition at line 44 of file Kernel_Random.cpp.

References rand_pd, and rand_rng.

◆ rand_simplex()

int PROJECT_NS::Kernel_Random::rand_simplex	(	kids_real *	res_arr,
		int	N = 1,
		kids_real	constr = 1.0f )

static

Definition at line 51 of file Kernel_Random.cpp.

References rand_rng, and rand_udd.

◆ rand_sphere()

int PROJECT_NS::Kernel_Random::rand_sphere	(	kids_real *	res_arr,
		int	N = 1,
		kids_real	constr = 1.0f )

static

Definition at line 70 of file Kernel_Random.cpp.

References rand_nd, and rand_rng.

◆ rand_uniform()

int PROJECT_NS::Kernel_Random::rand_uniform	(	kids_real *	res_arr,
		int	N = 1,
		kids_real	sigma = 1.0 )

static

Definition at line 24 of file Kernel_Random.cpp.

References rand_rng, and rand_udd.

Referenced by PROJECT_NS::elec_utils::c_focus(), PROJECT_NS::elec_utils::c_window(), PROJECT_NS::elec_utils::hopping_choose(), PROJECT_NS::Kernel_Elec_NAD::initializeKernel_impl(), PROJECT_NS::Kernel_Elec_Switch::initializeKernel_impl(), PROJECT_NS::Kernel_GWP::initializeKernel_impl(), PROJECT_NS::Model_NAD1D::initializeKernel_impl(), PROJECT_NS::elec_utils::pop_choose(), PROJECT_NS::elec_utils::pop_neg_choose(), rand_exponent(), and PROJECT_NS::elec_utils::rho_focus().

Here is the caller graph for this function:

◆ removeAt()

Kernel & Kernel::removeAt ( std::vector< std::size_t > indexes )

inherited

Remove kernels at specified indexes from the tree.

Parameters

indexes Indexes indicating the kernels to remove.

Returns: Reference to the modified kernel.

Definition at line 128 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels.

◆ report()

static int PROJECT_NS::Kernel::report ( Kernel * ker )

inlinestaticinherited

Definition at line 73 of file Kernel.h.

◆ serializeKernel()

const std::string Kernel::serializeKernel ( const Kernel & ker )

staticinherited

Serialize a Kernel object into a string representation.

Parameters

ker	The Kernel object to serialize.

Returns: A string representing the serialized Kernel object.

Definition at line 185 of file Kernel.cpp.

◆ setInputDataSet()

void Kernel::setInputDataSet ( std::shared_ptr< DataSet > & DS )

inherited

Set input data set for the kernel and its children.

Parameters

DS	Shared pointer to the DataSet object.

Definition at line 28 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_dataset, PROJECT_NS::Kernel::_param, and PROJECT_NS::Kernel::setInputDataSet_impl().

Here is the call graph for this function:

◆ setInputDataSet_impl()

void PROJECT_NS::Kernel_Random::setInputDataSet_impl ( std::shared_ptr< DataSet > & DS )

privatevirtual

Virtual function to set input data set for the kernel implementation.

Parameters

DS	Shared pointer to the DataSet object containing input data.

Reimplemented from PROJECT_NS::Kernel.

Definition at line 84 of file Kernel_Random.cpp.

References seed.

◆ setInputParam()

void Kernel::setInputParam ( std::shared_ptr< Param > & PM )

inherited

Set input parameters for the kernel and its children.

Parameters

PM	Shared pointer to the Param object.

Definition at line 21 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_param, PROJECT_NS::Kernel::is_timing, LOC, and PROJECT_NS::Kernel::setInputParam_impl().

Here is the call graph for this function:

◆ setInputParam_impl()

void Kernel::setInputParam_impl ( std::shared_ptr< Param > & PM )

protectedvirtualinherited

Virtual function to set input parameters for the kernel implementation.

Parameters

PM	Shared pointer to the Param object containing input parameters.

Definition at line 218 of file Kernel.cpp.

Referenced by PROJECT_NS::Kernel::setInputParam().

Here is the caller graph for this function:

◆ updateAt()

Kernel & Kernel::updateAt	(	std::vector< std::size_t >	indexes,
		std::shared_ptr< Kernel >	ker )

inherited

Update the kernel at specified indexes in the tree.

build tree structure of the kernel

Parameters

indexes	Indexes indicating the kernel to update.
ker	The kernel to update with.

Returns: Reference to the modified kernel.

Definition at line 147 of file Kernel.cpp.

References PROJECT_NS::Kernel::_child_kernels, PROJECT_NS::Kernel::_ruleset, and PROJECT_NS::Kernel::getLastParentKernelAndChildOrder().

Here is the call graph for this function:

Member Data Documentation

◆ _all_kernels

std::vector<std::shared_ptr<Kernel> > PROJECT_NS::Kernel::_all_kernels

protectedinherited

Vector containing shared pointers to all descendant kernels of this kernel.

Definition at line 303 of file Kernel.h.

Referenced by PROJECT_NS::Kernel::connectRelatedKernels().

◆ _child_kernels

std::vector<std::shared_ptr<Kernel> > PROJECT_NS::Kernel::_child_kernels

protectedinherited

Vector containing shared pointers to the child kernels of this kernel.

Definition at line 298 of file Kernel.h.

◆ _dataset

std::shared_ptr<DataSet> PROJECT_NS::Kernel::_dataset

protectedinherited

Shared pointer to the DataSet object associated with this kernel.

Definition at line 278 of file Kernel.h.

◆ _order_in_parent

std::size_t PROJECT_NS::Kernel::_order_in_parent

protectedinherited

Order of this kernel in its parent's children.

Definition at line 293 of file Kernel.h.

Referenced by PROJECT_NS::Kernel::appendChild(), and PROJECT_NS::Kernel::getLastParentKernelAndChildOrder().

◆ _param

std::shared_ptr<Param> PROJECT_NS::Kernel::_param

protectedinherited

Shared pointer to the Param object associated with this kernel.

Definition at line 273 of file Kernel.h.

◆ _parent_kernel

Kernel* PROJECT_NS::Kernel::_parent_kernel

protectedinherited

Pointer to the parent kernel.

Definition at line 288 of file Kernel.h.

Referenced by PROJECT_NS::Kernel::getLastParentKernelAndChildOrder().

◆ _ruleset

std::shared_ptr<RuleSet> PROJECT_NS::Kernel::_ruleset

protectedinherited

Recorded Rules associated with the Kernel.

Definition at line 283 of file Kernel.h.

Referenced by PROJECT_NS::Kernel::appendChild(), PROJECT_NS::Kernel::executeKernel(), PROJECT_NS::Kernel_Recorder::executeKernel_impl(), PROJECT_NS::Kernel_Recorder::finalizeKernel_impl(), PROJECT_NS::Kernel::getRuleSet(), PROJECT_NS::Kernel_Recorder::initializeKernel_impl(), PROJECT_NS::Kernel::insertAt(), PROJECT_NS::Kernel_Recorder::Kernel_Recorder(), PROJECT_NS::Kernel_Recorder::token(), and PROJECT_NS::Kernel::updateAt().

◆ rand_nd

std::normal_distribution< kids_real > PROJECT_NS::Kernel_Random::rand_nd {0.0, 1.0}

static

normal distribution

Definition at line 22 of file Kernel_Random.h.

Referenced by rand_gaussian(), and rand_sphere().

◆ rand_pd

std::poisson_distribution< int > PROJECT_NS::Kernel_Random::rand_pd {1.0}

static

possion distribution

Definition at line 23 of file Kernel_Random.h.

Referenced by rand_poisson().

◆ rand_rng

Kernel_Random::rng_t PROJECT_NS::Kernel_Random::rand_rng

static

Definition at line 18 of file Kernel_Random.h.

Referenced by initializeKernel_impl(), rand_catalog(), rand_gaussian(), rand_poisson(), rand_simplex(), rand_sphere(), and rand_uniform().

◆ rand_udd

std::uniform_real_distribution< kids_real > PROJECT_NS::Kernel_Random::rand_udd {0, 1}

static

uniform distribution

Definition at line 21 of file Kernel_Random.h.

Referenced by rand_simplex(), and rand_uniform().

◆ rand_uid

std::uniform_int_distribution< int > PROJECT_NS::Kernel_Random::rand_uid {0, 1}

static

catalog distribution

Definition at line 20 of file Kernel_Random.h.

Referenced by rand_catalog().

◆ restart

bool PROJECT_NS::Kernel_Random::restart

private

Definition at line 45 of file Kernel_Random.h.

Referenced by initializeKernel_impl().

◆ seed

int* PROJECT_NS::Kernel_Random::seed

private

Definition at line 44 of file Kernel_Random.h.

Referenced by initializeKernel_impl(), and setInputDataSet_impl().

The documentation for this class was generated from the following files:

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Protected Attributes

Private Member Functions

Static Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ pd_range

◆ rng_t

◆ uid_range

Member Function Documentation

◆ appendChild()

◆ connectRelatedKernels()

◆ deserializeKernel()

◆ dump()

◆ executeKernel()

◆ executeKernel_impl()

◆ finalizeKernel()

◆ finalizeKernel_impl()

◆ generateInformationString()

◆ getDataSet()

◆ getDictOfKernels()

◆ getID()

◆ getKernels()

◆ getLastParentKernelAndChildOrder()

◆ getName()

◆ getParam()

◆ getRuleSet()

◆ getType()

◆ initializeKernel()

◆ initializeKernel_impl()

◆ insertAt()

◆ mpi_reduce_info()

◆ operator==()

◆ rand_catalog()

◆ rand_exponent()

◆ rand_gaussian()

◆ rand_poisson()

◆ rand_simplex()

◆ rand_sphere()

◆ rand_uniform()

◆ removeAt()

◆ report()

◆ serializeKernel()

◆ setInputDataSet()

◆ setInputDataSet_impl()

◆ setInputParam()

◆ setInputParam_impl()

◆ updateAt()

Member Data Documentation

◆ _all_kernels

◆ _child_kernels

◆ _dataset

◆ _order_in_parent

◆ _param

◆ _parent_kernel

◆ _ruleset

◆ rand_nd

◆ rand_pd

◆ rand_rng

◆ rand_udd

◆ rand_uid

◆ restart

◆ seed